AI bubble burst and startup funding

How is startup funding linked to the AI bubble?

Start-ups raise money against a story of future growth, and investors price that story with the same expectations that drive AI valuations. When expectations rise, rounds come faster and larger. When they fall, rounds slow, shrink, or move to better-known names. The EQOS Asia AI study records valuations up ×4 in 18 months.

The link reaches start-ups that never build AI. Investors who lose on AI holdings reduce new commitments across their portfolio, and funds that need to show returns become more selective. A food-delivery start-up and an AI model builder can compete for the same shrinking pool, and the investor compares both on growth, margin, and cash left.

What does the venture data show before an AI bubble burst?

The EQOS Asia startups study (2026) reports that venture volume fell 40% from the 2021 peak to 2025. It also reports that 90% of start-ups fail within 10 years, a rate that has stayed stable for 20 years. The market already tightened before any AI burst.

A burst would hit a market that is already selective. Investors had begun to ask harder questions, and founders had begun to adapt. The change would be faster and deeper for companies whose story rests on AI growth alone, and gentler for those with revenue and costs under control.

Why does the AI share of deals matter for startup funding after a burst?

According to the same study, AI took 75% of 2025 deals. That concentration means that one theme carried most of the new funding. If confidence in the theme falls, the flow of money to start-ups falls with it, and the effect lasts until investors find another theme or new evidence.

Founders can read their own exposure. Estimate the share of your revenue and your investor interest that depends on AI. A company that sells a product to paying customers, and uses AI inside it, stands on firmer ground than one that sells the promise of AI itself.

Where is the money if AI startup funding slows?

The study reports about $300B of dry powder, meaning capital that investors have raised and not yet deployed. That sum shows that money exists. Funds hold it for the best opportunities, and they take longer to commit it. Founders who meet the criteria still raise money, and founders who miss them wait.

Funds also reserve capital for their existing companies, so new names compete for a smaller share. A start-up with clear unit economics and growing revenue passes the first filter. A start-up without them can look at corporate partners, grants, revenue-based financing, or a smaller round. Each option has a cost in control or in price, so compare them on the same sheet and choose the one that keeps the team funded longest.

Which metrics do investors read first after an AI bubble burst?

The study reports that 85% of investors now require a path to profit, against 30% in 2021. Expect questions on gross margin, customer acquisition cost against lifetime value, net revenue retention, and months of cash. Prepare each number with its definition, its source, and its trend.

Metric gaming is common, as the study notes: biased cohort analysis or one-off revenue counted as recurring. Investors check, and a number that fails a check costs credibility on all the others. Present clean figures with the method, and your numbers become evidence. A data room with definitions, monthly history, and the source of each figure shortens due diligence and signals discipline.

How can founders extend runway before an AI bubble burst?

The study notes cycles of 18 to 24 months between rounds. Count backwards: begin the next raise at least 9 months before the cash ends. Five steps extend runway: cut costs tied to unproven bets, lengthen customer contracts, collect payments faster, negotiate supplier terms, and prepare a smaller round as a fallback.

Run three scenarios in a spreadsheet: a round at the planned size, a round at half size, and no round. Note the month of cash-out in each. The scenario with no round shows which decisions to make today. This page is general information, not investment advice.

What is a valuation reset in AI startup funding?

A valuation reset happens when a company raises money at a lower price than its last round. It dilutes the founders more and can trigger clauses that protect investors. It is painful, and it is also a normal part of a market adjusting after a rise.

Founders can prepare by reading their term sheets before they need them. Know the protection clauses of earlier investors, the effect of a lower price on ownership, and the minimum round that keeps the team funded. Early reading avoids surprises at the moment of negotiation, and it lets you ask your lawyer the right questions while time remains. A founder who knows the numbers negotiates from facts and not from fear.

What does an AI bubble burst mean for founders in Singapore and Hong Kong?

Both cities host start-ups that raise from regional and global funds. Founders there face the same shift in investor criteria, and they often serve several markets, which spreads revenue risk. A clear story about unit economics in each market helps investors compare them.

The EQOS Asia business page explains how a score ranks decisions for founders and small companies across Asia-Pacific. A 30-minute pre-diagnostic applies it to your funding plan, including the choice between a smaller round now and a larger one later, and it returns options ranked by fit with your goals.

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About the author

Stéphane Jambu

President, EQOS Forecast Asia

Stéphane Jambu leads EQOS Forecast Asia and works as a consultant in e-commerce, search visibility, and AI. LinkedIn profile